class_docstr: Block that creates a classification head.
code: def call(self, inputs, **kwargs):
      x = inputs
      for block in self._encoder:
          x = block(x)
      x = tf.reduce_mean(x, axis=[1, 2])
      return {self.name: self._logits(x)}
  
imports: import gin
  import tensorflow
  from tensorflow_graphics.projects.points_to_3Dobjects.networks import networks
  import tensorflow_graphics.projects.points_to_3Dobjects.networks.custom_blocks
label_desc: Use image node_id 2 for calling the ClassificationHead obj's underlying member method code with example usage: obj.call(inputs) and returns: dict